An axiomatic comparison of learned term-weighting schemes in information retrieval: clarifications and extensions

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@Article{cummins:2007a:AIR,
  author =       "Ronan Cummins and Colm O'Riordan",
  title =        "An axiomatic comparison of learned term-weighting
                 schemes in information retrieval: clarifications and
                 extensions",
  journal =      "Artificial Intelligence Review",
  year =         "2007",
  volume =       "28",
  number =       "1",
  pages =        "51--68",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Information
                 retrieval, Axiomatic constraints",
  DOI =          "doi:10.1007/s10462-008-9074-5",
  size =         "51 pages",
  abstract =     "Machine learning approaches to information retrieval
                 are becoming increasingly widespread. In this paper, we
                 present term-weighting functions reported in the
                 literature that were developed by four separate
                 approaches using genetic programming. Recently, a
                 number of axioms (constraints), from which all good
                 term-weighting schemes should be deduced, have been
                 developed and shown to be theoretically and empirically
                 sound. We introduce a new axiom and empirically
                 validate it by modifying the standard BM25 scheme.
                 Furthermore, we analyse the BM25 scheme and the four
                 learned schemes presented to determine if the schemes
                 are consistent with the axioms. We find that one
                 learned term-weighting approach is consistent with more
                 axioms than any of the other schemes. An empirical
                 evaluation of the schemes on various test collections
                 and query lengths shows that the scheme that is
                 consistent with more of the axioms outperforms the
                 other schemes.",
  notes =        "Published online: 13 September 2008",
}

Genetic Programming entries for Ronan Cummins Colm O'Riordan

Citations